Taxonomy and structure of the Polish personality lexicon
Bibliographic record
Abstract
We identified 1839 person‐descriptive adjectives from a Polish dictionary, and 10 judges classified those adjectives into five descriptive categories. Two hundred ninety adjectives (16 per cent) were classified by most judges as ‘Dispositions’ (i.e. relatively stable personality traits and abilities). We examined the structure of those 290 adjectives in self‐ratings from 350 respondents. In the five‐factor solution, two dimensions closely resembled Big Five Conscientiousness and Agreeableness, and two others represented rotated variants of Extraversion and Emotional Stability. The fifth factor was dominated by Intellect, containing little Imagination and no Unconventionality content. A six‐factor solution closely resembled the cross‐language HEXACO structure (but with ‘Intellect’ rather than ‘Openness to Experience’). Analyses of 369 peer ratings revealed five‐ and six‐factor solutions nearly identical to those of self‐ratings. Copyright © 2007 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".